CN108335043A - A kind of intelligent electricity utilization cell cutting load dispatching method of fairness - Google Patents
A kind of intelligent electricity utilization cell cutting load dispatching method of fairness Download PDFInfo
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- CN108335043A CN108335043A CN201810116501.4A CN201810116501A CN108335043A CN 108335043 A CN108335043 A CN 108335043A CN 201810116501 A CN201810116501 A CN 201810116501A CN 108335043 A CN108335043 A CN 108335043A
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- 230000003252 repetitive effect Effects 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000010276 construction Methods 0.000 description 1
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- 238000005457 optimization Methods 0.000 description 1
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- G06Q10/06315—Needs-based resource requirements planning or analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The present invention provides a kind of intelligent electricity utilization cell cutting load dispatching methods of fairness, purpose of the present invention cutting load dispatching method before the Family Day of a kind of meter of offer and electricity consumption behavior, this method is compared with general technology, the present invention is in the data characteristic for fully considering domestic consumer's dispatching in intelligent residential district, the day power load data information of domestic consumer is obtained by acquisition, obtaining user daily electricity consumption can cutting load, the dispatching of user is analyzed, the fairness criterion that science is established with data effectively improves intelligent residential district electricity consumption scheduling cutting load effect.
Description
Technical field
The invention belongs to the intelligent electricity utilization cell cutting loads of intelligent power dispatching technique field more particularly to a kind of fairness
Dispatching method.
Background technology
Intelligent power engineering construction under energy Background of Internet, household electricity scheduling are important component part.User
Electricity consumption behavior influenced by class of subscriber, income and society/educational level equality various aspects.It therefore can be by optimizing electricity consumption tune
Degree, i.e., by inducing user to change its own electricity consumption to optimize the electric energy equilibrium of supply and demand, to realize that reduction is matched with valence incentive measure
Electric cell peak load is poor, improves load curve, and efficient electricity consumption meets energy internet development demand.
The electricity consumption dispatching method of existing intelligent grid is according to supply side supply load curve, by community user entirety
The optimization of electricity consumption scheduling is realized in the scheduling of load.This invention address that in data Angle analysis user power utilization custom, according to best
Scheduling factor realizes the electricity consumption scheduling operation of family's load, effectively improves household electricity scheduling cutting load effect a few days ago.
Invention content
The purpose of the present invention is to provide a kind of intelligent electricity utilization cell cutting load dispatching methods of fairness, with general technology
It compares, the present invention fully considers the data characteristic of intelligent residential district domestic consumer's dispatching, obtains domestic consumer's by acquisition
Day power load data information, obtain the daily electricity consumption of user can cutting load, the dispatching of user is analyzed, is built with data
The fairness criterion of vertical science effectively improves the effect of intelligent residential district cutting load scheduling.
S1. acquisition obtains the daily electricity consumption data information of load of domestic consumer
S2. the electricity consumption scheduling information normalization operation of domestic consumer
S3. the cutting load fairness factor operation of user is calculated
S4. next cycle user cutting load scheduling operation is realized according to fairness index sequence
S5. family's workload demand response cutting load operation is completed in return to step S1 repetitive operations
Description of the drawings
Fig. 1 is the method for the present invention flow chart.
Fig. 2 is the method for the present invention typical case scene graph.
Specific implementation mode
Below in conjunction with the accompanying drawings, it elaborates to preferred embodiment.It is emphasized that following the description is merely exemplary
, the range being not intended to be limiting of the invention and its application.It is flow chart of the method for the present invention as shown in Figure 1, below in conjunction with
The method of the present invention is further described in specific embodiment.
Specific embodiment application scenarios are a scene containing typical case as shown in Fig. 2, the intelligent electricity utilization cell includes K
Domestic consumer, the power load of each domestic consumer include base load (such as illuminator) and can cutting load (such as refrigerator with
Water heater)；Power distribution network control centre implements to realize that day is dispatched in electricity consumption to user in intelligent electricity utilization cell by electricity consumption scheduling strategy
Day before yesterday grade cutting load operation.
A kind of intelligent electricity utilization cell cutting load dispatching method of fairness provided by the invention, includes the following steps：
S1. acquisition obtains the daily electricity consumption data information of load of domestic consumer；
If intelligent electricity utilization cell domestic consumer sum is K (value range of K is 1~500), if acquisition time section is N days
The scheduling times of (N value ranges are 7~30) and No.j days (j=1~N) are i (value range of i is 1~24), and scheduling quantum is
M (value range of m is 0kWh~10kWh)；To N days before each user's statistics gatherer, using domestic consumer's intelligent electric meter device,
According to being divided between acquisition time 1 day, the load electricity consumption data of domestic consumer are periodically acquired；Statistics obtains k-th of user
The scheduling times i and scheduling quantum m in jth day.
Total number of users is set in example as K=5 (value range is 1~500), timing statistics section is N=7 days (value ranges
Be 7~30) and the scheduling times of No.j days (j=1 ..., N) be i (value range be 1~24)；Scheduling quantum is the m (values of m
Ranging from 0kWh~10kWh)；To N days before each user's statistics gatherer, using domestic consumer's intelligent electric meter device, according to acquisition
Time interval is 1 day, periodically acquires the load electricity consumption data of domestic consumer；Statistics obtains the tune in k-th of user's jth day
Spend number i and scheduling quantum m.
S2. the electricity consumption scheduling information normalization operation of domestic consumer
Operation is normalized to k user j days the scheduling times i and scheduling quantum m of acquisition, obtains k-th of user's jth
(G's takes it normalization scheduling times F (value range of F is 0~1) and the normalization scheduling quantum G in k-th of user's jth day
Value ranging from 0~1).
Operation is normalized to k user of acquisition j days scheduling times i and scheduling quantum m in example, is obtained k-th
The normalization scheduling quantum G of normalization scheduling times F (value range of F is 0~1) and k-th of user's jth day in user's jth day
(value range of G is 0~1), as shown in table 1.
The electricity consumption scheduling information of 1 domestic consumer of table normalizes result table
S3. the cutting load fairness factor operation of user is calculated
If current dispatching cycle is T (unit is day), fairness weight coefficient is z (value range of z is 0~1), according to
Formula A=z*F+ (1-z) * G calculate cutting load fairness factor A (value range 0~1)；Mark No.k user's current scheduling week
The cutting load fairness index of phase TAccording to formulaCalculate the cutting load justice of next T+1 dispatching cycle because
Son.
Current dispatching cycle is set in example as T (unit is day), fairness weight coefficient is the z=0.5 (value ranges of z
It is 0~1), calculate cutting load fairness factor A (value range 0~1) according to formula A=z*F+ (1-z) * G；No.k is marked to use
The cutting load fairness index of family current dispatching cycle TAccording to formulaCalculate next T+1's dispatching cycle
Cutting load fairness index, as shown in table 2.
The fairness coefficient of 25 domestic consumer's period 1 of table and second round
S4. next cycle user cutting load scheduling operation is realized according to fairness index sequence
It is user cutting load fairness indexs of the T to next T+1 dispatching cycle in current dispatching cycleDescending row
Sequence；In next T+1 dispatching cycle, according toDescending sequencing carries out cutting load operation to user, realizes intelligence
It can the operation of electricity consumption cell fairness cutting load.
In current dispatching cycle it is T to user's cutting load fairness index of next T+1 dispatching cycle in exampleBy big
To small sequence；In next T+1 dispatching cycle, according toDescending sequencing carries out cutting load operation to user, real
Existing intelligent electricity utilization cell fairness cutting load operation, as shown in table 3, cutting load operation User ID sequence are followed successively by user 1, user
5, user 2, and user 3, and user 4,.
The dispatching sequence of 3 domestic consumer's cutting load of table
S5. family's workload demand response cutting load operation is completed in return to step S3 repetitive operations
Current period T is updated to T+1, repeats step S1, completes family's workload demand response cutting load in next period
Operation.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, the change or replacement that can be readily occurred in,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of the claims
Subject to.
Claims (4)
1. a kind of intelligent electricity utilization cell cutting load dispatching method of fairness, this approach includes the following steps：
S1. acquisition obtains the daily electricity consumption data information of load of domestic consumer
S2. the electricity consumption scheduling information normalization operation of domestic consumer
S3. the cutting load fairness factor operation of user is calculated
S4. next cycle user cutting load scheduling operation is realized according to fairness index sequence
S5. family's workload demand response cutting load operation is completed in return to step S1 repetitive operations.
2. a kind of intelligent electricity utilization cell cutting load dispatching method of fairness according to claim 1, which is characterized in that institute
It states in step S2, the normalization scheduling times in k-th of user's jth day are F（The value range of F is 0 ~ 1）, k-th of user's jth day
Normalization scheduling quantum be G（The value range of G is 0 ~ 1）.
3. a kind of intelligent electricity utilization cell cutting load dispatching method of fairness according to claim 1, which is characterized in that institute
It states step S3 and sets current dispatching cycle as T（Unit is day）, fairness weight coefficient is z（The value range of z is 0 ~ 1）, according to
FormulaCalculate cutting load fairness factor A（Value range 0 ~ 1）；Mark No.k user's current scheduling week
The cutting load fairness index of phase T, according to formulaCalculate the cutting load justice of next T+1 dispatching cycle because
Son.
4. a kind of intelligent electricity utilization cell cutting load dispatching method of fairness according to claim 1, which is characterized in that institute
It states in step S4, is user cutting load fairness indexs of the T to next T+1 dispatching cycle in current dispatching cycleBy greatly to
Small sequence；In next T+1 dispatching cycle, according toDescending sequencing carries out cutting load operation to user, real
Existing intelligent electricity utilization cell fairness cutting load operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810116501.4A CN108335043A (en) | 2018-02-06 | 2018-02-06 | A kind of intelligent electricity utilization cell cutting load dispatching method of fairness |
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| CN201810116501.4A CN108335043A (en) | 2018-02-06 | 2018-02-06 | A kind of intelligent electricity utilization cell cutting load dispatching method of fairness |
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| CN108335043A true CN108335043A (en) | 2018-07-27 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109494754A (en) * | 2019-01-08 | 2019-03-19 | 国网湖南省电力有限公司 | Consider the urgent cutting load method of power grid of user time fairness |
| CN109713679A (en) * | 2019-01-08 | 2019-05-03 | 国网湖南省电力有限公司 | The urgent cutting load method of power grid based on demand response participation |
-
2018
- 2018-02-06 CN CN201810116501.4A patent/CN108335043A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109494754A (en) * | 2019-01-08 | 2019-03-19 | 国网湖南省电力有限公司 | Consider the urgent cutting load method of power grid of user time fairness |
| CN109713679A (en) * | 2019-01-08 | 2019-05-03 | 国网湖南省电力有限公司 | The urgent cutting load method of power grid based on demand response participation |
| CN109713679B (en) * | 2019-01-08 | 2021-01-26 | 国网湖南省电力有限公司 | Power grid emergency load method based on demand response participation degree |
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